At+t Corp.

Honeywell International Inc.

Oregon Health & Science University

Misha Pavel

Daniel K Harden

Burt R Wolder

David L Chaiken

Stuart H Gannes

Santosh Mathan

Branko Lukic

Kwong Wing Au

Rida M Hamza

Patricia May Ververs

Christopher D Weeldreyer

Deniz Erdogmus

Tamara Hayes

Kenneth Hild

Zachary Beattie

Chad Hagen

Embodiments provide systems, methods and apparatuses for monitoring the sleep of a subject in a home environment. In embodiments, load cells placed under bed supports may be coupled to a computing device that may process the load cell data to detect disordered breathing. In some embodiments, a computing device may apply a pattern recognition algorithm to load cell data to distinguish between normal movements and movements associated with a sleep disorder. In an embodiment, apparatuses and methods for monitoring sleep may perform functions associated with detection of sleep disturbances and/or identify a sleep disorder.

Method and apparatus for assessment of sleep disorders

A system and method of dynamically calibrating an image triage system. An image that may include one or more target entities is divided into a plurality of individual non-calibration image chips. Each non-calibration image chip is successively displayed to a user for a presentation time period. A calibration image chip that includes a synthetic target entity is selectively displayed, for the presentation time period, between the successive display of two non-calibration image chips. Calibration data are collected from the user at least while each calibration image chip is being displayed, and the image triage system is dynamically calibrated using the calibration data.

Dynamic calibration of physiologically driven image triage systems

Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.

Intelligent image segmentation system and method for accurate target detection

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Portland, OR, United States of America

Misha Pavel